Sökning: "Traffic Flow Prediction"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden Traffic Flow Prediction.

  1. 1. Prediction and Analysis of 5G beyond Radio Access Network

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Gaurav Singh; Shreyansh Singh; [2023]
    Nyckelord :- LSTM; RNN; AE-LSTM; Deep Learning; Machine Learning; network traffic flow; forecasting; quality-of-service.;

    Sammanfattning : Network traffic forecasting estimates future network traffic based on historical traffic observations. It has a wide range of applications, and substantial attention has been dedicated to this research area. LÄS MER

  3. 2. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Fredrik Kortetjärvi; Rohullah Khorami; [2023]
    Nyckelord :Graph Neural Network;

    Sammanfattning : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. LÄS MER

  4. 3. Mapping Noise Pollution with Open-source GIS

    Master-uppsats, Högskolan i Gävle/Samhällsbyggnad

    Författare :Faustina Lina Yeboah; [2021]
    Nyckelord :Road traffic noise; CNOSSOS-EU; noise exposure; Lday; Levening; Lnight; Lden;

    Sammanfattning : In a time when urban areas continue to expand, environmental noise pollution especially from road traffic remains a big challenge. This study was aimed at using open-source GIS tools to predict road traffic noise pollution using the mid-sized city of Gävle as a case study. LÄS MER

  5. 4. AI-Powered Network Traffic Prediction

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Amin Bolakhrif; [2021]
    Nyckelord :Deep Learning; IP Address; Machine Learning; Network Traffic Flows; Neural Networks; Predictive Model; Regression.; Djupinlärning; IP Address; Maskininlärning; Nätverkstrafikflöden; Neurala Nätverk; Prediktionsmodell; Regression.;

    Sammanfattning : In this Internet and big data era, resource management has become a crucial task to ensure the quality of service for users in modern wireless networks. Accurate and rapid Internet traffic data is essential for many applications in computer networking to enable high networking performance. LÄS MER

  7. 5. Link flow destination distribution estimation based on observed travel times for traffic prediction during incidents

    Master-uppsats, Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska högskolan

    Författare :Anna Danielsson; Gabriella Gustafsson; [2020]
    Nyckelord :incident management; logit model; route choice estimation; route set generation; traffic flow modelling; traffic prediction;

    Sammanfattning : In a lot of big cities, the traffic network is overloaded, with congestion and unnecessary emissions as consequence. Therefore, different traffic control methods are useful, especially in case of an incident. LÄS MER